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goals Identify and integrate emerging technologies (e.g. cloud computing, AI and data analytics) to optimize university operations and user experiences Stakeholder Engagement: Collaborate with academic
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a cross-disciplinary School of Computing and Data Science, the University is committed to fostering interdisciplinary exchange with an outlook for transformative breakthroughs, innovations and global
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, programme design, and evaluation, as well as in the scholarship and evaluation of assessment related to a large-scale cross-faculty interprofessional education and collaborative practice. The appointee will
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- “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should be form five school leaver with
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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activities; (b) support academic programme management; (c) organise research events and experiential learning activities (e.g., conferences, seminars and student field trips); (d) play a liaison role between
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Duties Provide teaching support for course teachers; Support course administration and development of teaching materials; Grade student assignments; Assist in programme administration including
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and students Perform any ad hoc or administrative duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other
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are not limited to, digital project engineering and management, construction informatics, construction robots and automation, digital transformation, digital heritage conservation, safety management
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, Research Methods, Sports Technology and engage in professional development activities, student advising and leading co-curricular activities. The appointee will also assume the role of Programme Director for